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| Exploration of errors in variance caused by using the first-order approximation in Mendelian randomization |
| Hakin Kim, Kunhee Kim, Buhm Han |
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Genomics Inform. 2022;20(1):e9 Published online March 31, 2022 DOI: https://doi.org/10.5808/gi.21060 |
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Exploration of errors in variance caused by using the first-order approximation in Mendelian randomization Genomics & Informatics. 2022;20(1):e9  Comprehensive genotyping in dyslipidemia: mendelian dyslipidemias caused by rare variants and Mendelian randomization studies using common variants Journal of Human Genetics. 2017;62(4):453-458 Cardiometabolic Risks of SARS-CoV-2 Hospitalization Using Mendelian Randomization . 2020; A novel penalized inverse‐variance weighted estimator for Mendelian randomization with applications to COVID‐19 outcomes Biometrics. 2022; Topographic gravitational potential up to second-order derivatives: an examination of approximation errors caused by rock-equivalent topography (RET) Journal of Geodesy. 2016;90(9):883-902 A Radiotherapy Treatment Margin Formula When Systematic Positioning Errors are Relatively Small Compared to Random Positioning Errors: A First-Order Approximation International Journal of Medical Physics, Clinical Engineering and Radiation Oncology. 2017;06(02):193-196 Approximation of bias and mean‐squared error in two‐sample Mendelian randomization analyses Biometrics. 2019;76(2):369-379 Causal inference in melanoma epidemiology using Mendelian randomization British Journal of Dermatology. 2019; Serum urate and lung cancer: a cohort study and Mendelian randomization using UK Biobank . 2021; Letter in response to ‘Bias in two-sample Mendelian randomization when using heritable covariable-adjusted summary associations’—‘Interpreting Mendelian randomization studies pre-adjusted for the heritable covariable survival to recruitment’ International Journal of Epidemiology. 2021;50(5):1744-1745 |
